Open Access   Article Go Back

Remarked Vehicle Detection and Identification

Sachu Alex1 , Krishnendu S.2 , Shoby Ann Sunny3 , Sudhi G. K.4 , Imthiyas M.P.5

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-5 , Page no. 1633-1642, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i5.16331642

Online published on May 31, 2019

Copyright © Sachu Alex, Krishnendu S., Shoby Ann Sunny, Sudhi G. K., Imthiyas M.P. . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

XML View
PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Sachu Alex, Krishnendu S., Shoby Ann Sunny, Sudhi G. K., Imthiyas M.P., “Remarked Vehicle Detection and Identification,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.1633-1642, 2019.

MLA Style Citation: Sachu Alex, Krishnendu S., Shoby Ann Sunny, Sudhi G. K., Imthiyas M.P. "Remarked Vehicle Detection and Identification." International Journal of Computer Sciences and Engineering 7.5 (2019): 1633-1642.

APA Style Citation: Sachu Alex, Krishnendu S., Shoby Ann Sunny, Sudhi G. K., Imthiyas M.P., (2019). Remarked Vehicle Detection and Identification. International Journal of Computer Sciences and Engineering, 7(5), 1633-1642.

BibTex Style Citation:
@article{Alex_2019,
author = {Sachu Alex, Krishnendu S., Shoby Ann Sunny, Sudhi G. K., Imthiyas M.P.},
title = {Remarked Vehicle Detection and Identification},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {1633-1642},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4463},
doi = {https://doi.org/10.26438/ijcse/v7i5.16331642}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.16331642}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4463
TI - Remarked Vehicle Detection and Identification
T2 - International Journal of Computer Sciences and Engineering
AU - Sachu Alex, Krishnendu S., Shoby Ann Sunny, Sudhi G. K., Imthiyas M.P.
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 1633-1642
IS - 5
VL - 7
SN - 2347-2693
ER -

VIEWS PDF XML
430 256 downloads 159 downloads
  
  
           

Abstract

The objective of the project is to design an efficient automatic vehicle identification system using cameras. There exists a number of vehicles on road. In the modern world the criminal misappropriation using vehicles are becoming a greatest challenge. In the existing system, vehicle identification is done manually and the information is passed through vehicle authorities through communicating devices. So in order to overcome such disadvantage we need a automatic vehicle identification system. Automatic vehicle identification at signal point using number plate to identify the vehicle and informs to vehicle department authorities. The system detects and extracts the number plate of all vehicles in traffic signal and email or messages regarding the vehicle are send to vehicle authorities probably within 10 km radius so that immediate actions can be initiated against any remarked vehicles according to the data received. Thus this can be used as a real time system for vehicle identification

Key-Words / Index Term

location, camera, vehicle, traffic signal

References

[1]. Sharma G “performance analysis of vehicle number plate recognition system using template matching techniques”. J Inform Tech.pp.2018
[2]. Prof. Amit Kukreja1 Swati Bhandari2, Sayali Bhatkar3, Jyoti Chavda4, Smita Lad5, “indian vehicle number plate detection using image processing” Electronics And Telecommunication, Mumbai University, K.J.Somaiya Institute Of Engineering And T, Mumbai, Maharashtra , India(IRJET) e-ISSN: 2395 -0056 Vol.4, Issue.4, pp.2017
[3]. E. R. Lee, P. K. Kim, H. J. Kim, “Automatic recognition of a vehicle license plate using color image processing,” International Conference On Image Processing (ICIP’94), Vol. 2, pp. 301-305, 1994.
[4]. CelilOzkurt “Automatic Traffic Density Estimation And Vehicle Classification For Traffic Surveillance Systems Using Neural Networks.”
[5]. “Mathematical and Computational Applications,” Vol.14, Issue. 3, pp. 187- 196, 2009.
[6]. WisnuJatmiko,,“Detection and Counting of Vehicles Based on Video Processing In Distributed Traffic System”, International Conference on Advance
[7]. Computer Science and Information System 2010
[8]. K.K. KIM, K.I., KIM, J.B. KIM, and H.J. KIM, “Learning-Based
Approach for License Plate Recognition” Proceeding of IEEE Signal Processing Society Workshop, Vol. 2, pp.614-623, 2000.
[9]. Ronan O’Malley “Rear-Lamp Vehicle Detection and Tracking in Low- Exposure Color Video for Night Conditions”. IEEE Transactions on Intelligent Transportation Systems, Vol. 11, Issue.2, pp.June 2010
[10]. Zhang Y.,Zhang C:“New Algorithm for Character Segmentation of License Plate”, Intelligent vehicles Symposium,IEEE,pp 200